A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Abstract: Industrial systems require effective anomaly detection and predictive maintenance strategies to prevent unexpected failures and optimize operational efficiency. However, traditional ...

Strong holiday viewership of advanced VSLive! Orlando sessions points to growing demand for immersive, hands-on training as ...

Uncover the intersection of architecture and health in 2025, showcasing projects that foster well-being and community resilience.

ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...

ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too low, and profit margins suffer. Traditional pricing approaches typically ...

Abstract: Monitoring of advanced cancer patients' health, treatment, and supportive care is essential for improving cancer survival outcomes. Traditionally, oncology has relied on clinical metrics ...